Mode-dependent Hºº filtering for discrete-time Markovian jump linear systems with partly unknown transition probabilities.
By L. Zhang, El Kebir Boukas. 2009
226 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/59cdf332ea0a04d05a4a2705915ed907ab66615c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Fanbiao Li
- Jinliang Liu
- José Claudio Geromel
- Songlin Hu
- Alim P. C. Gonçalves
- André Ricardo Fioravanti
- Hua Han
- Yifan Hu
Citations in the corpus
- A survey on Markovian jump systems: Modeling and design (2015, background): “In [50-52], the transition rates or probabilities of the jump are considered to be partially accessed, i.”
- H∞ filtering for Markovian jump systems with time-varying delays (2010, background): “During the past few decades, Markovian Jump Systems (MJSs) have been attracted much attention [1, 2, 3, 4, 5, 6], which can be regarded as a special class of hybrid systems with finite operation modes whose structures are subject to random abrupt changes.”
- Filtering of discrete‐time Markov jump linear systems with uncertain transition probabilities (2011, methodology): “Corollary 1 Let ◦ and • be the minimum value of the H∞ level provided by Theorem 1 of [11] and Theorem 4, respectively.”